Fundamental Control Functions and Error Analysis in Variational Data Assimilation |
| |
Authors: | V Shutyaev F-X Le Dimet |
| |
Institution: | (1) Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkina 8, 119333 Moscow, Russia;(2) MOISE project (CNRS, INRIA, UJF, INPG); LJK, Universit? de Grenoble, BP 51, 38051 Grenoble Cedex 9, France; |
| |
Abstract: | The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to
find the initial condition function. The equation for the error of the optimal solution (analysis) is derived through the
errors of the input data (background and observation errors). The numerical algorithm is developed to compute the sensitivity
coefficients for the analysis error using the fundamental control functions. Application to the variational data assimilation
problem for a model of ocean thermodynamics is considered. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|